How can we ethically advance AI medical research without compromising pediatric patients?
@stanfordhai
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AI Redefining Human Creativity at Stanford Conference
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Generative AI has pushed the boundaries of what's possible, prompting questions about its impact on creative disciplines. At our upcoming fall conference, we explore how AI is challenging, redefining, and expanding notions of human creativity. https://
stanford.io/3Q3FmiH -
How Should We Live Together With AI Technology
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“We need to interrogate ourselves, to better understand how we as individuals and as communities would want to live with AI technology and through our creations how we might want to live with one another.” – @gewang 3/4
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Technology Design Beyond Convenience: Questioning Economic Narratives
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“Even when we 'design technology for social good,' we too often just end up making something slightly more convenient, and slightly more convenient fits the prevailing economic narrative. This is a bubble. The technology cave we don't know we are living in.” – @gewang 2/4
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Stanford Seminar Questions AI Solutions and Technology FOMO
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Thanks to Stanford music and CS professor @gewang for launching this fall's research seminars by asking what we really want from AI. This morning we discussed Silicon Valley’s tech solutions bubble, AI FOMO, and questioning the premises. 1/4
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Human-Centered AI Vodcast: Exploring Our Relationship with AI
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Introducing the Human-Centered AI Vodcast – a unique hybrid of podcast + live seminar that seeks to better understand what we all want from AI. Today at 10 am, HAI's @gewang will walk us through questions that provoke self-reflection & critical thinking: https://
stanford.io/3F1YOpF -
Stanford’s Spellburst Tool Streamlines Coding Art Creation Process
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Coding art is a time-consuming, complicated process. Stanford scholars sought to make this process seamless through a new tool called Spellburst.
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Building Foundation Models Responsibly: Key Insights
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How do we build foundation models responsibly? That was the key question at a recent event hosted by HAI’s Center for Research on Foundation Models and @PrincetonCITP
. Read the recap by @kevin_klyman
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Social Media Data Revolutionizes Computational Pathology AI
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Compared with other areas of AI, computational pathology has lagged behind due to lack of anonymized, well-annotated image datasets. Researchers turned to social media to find a rich new data source:
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Generative Agents: Applications and Ethical Implications
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Simulating human-like agents was once a difficult research problem. Now, using large language models, “generative agents” can behave in ways that are believably humanlike. What are the potential applications and ethical issues they pose?